We are looking for an experienced Data Engineer with a strong background in data warehousing and modern data stack technologies. The ideal candidate should have hands-on expertise in Snowflake, DBT, and SQL, along with exposure to banking domain projects.
This role requires someone who has worked on core data engineering (not ETL/BI-focused profiles) and can build scalable, high-performance data solutions.
Key Responsibilities
Design, develop, and maintain scalable data pipelines and data warehouse solutions
Work extensively with Snowflake and DBT for data transformation and modeling
Write optimized and complex SQL queries for large datasets
Collaborate with business and tech teams to understand data requirements
Ensure data quality, integrity, and performance optimization
Work on data modeling,
schema design, and data architecture
Support data integration across multiple systems in a banking domain environment
Troubleshoot data issues and optimize existing pipelines
Mandatory Skills
Robust expertise in SQL (advanced level)
Hands-on experience with Snowflake
Experience with DBT (Data Build Tool)
Experience in Data Warehousing projects
Strong knowledge of RDBMS (Oracle / DB2)
Exposure to Banking / Financial Services domain
Good to Have
Hands-on experience in Python
Understanding of modern data engineering practices
Experience with performance tuning and optimization
📌 Data Engineer (Snowflake with DBT) Bangalore Location (Bengaluru)
🏢 Anlage Infotech
📍 Bengaluru
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